AI-Native Tech Lead | Agentic Systems

Remote Jobs; United States; Remote; USD 42,000 - 52,000; Full time

Benefits offered by this job

Remote work

Full-time: 8 hours/day

Job summary

Remote Jobs is seeking a hands-on Tech Lead to build production-grade AI agents and lead delivery from architecture to deployment. You will code, make technical decisions, and help the team ship reliable AI-powered products quickly.

You will oversee agent systems, tool integrations, and evaluation observability while ensuring secure, scalable, and cost-efficient deployments across cloud environments.

Qualifications

• Experience shipping AI agents or LLM applications into production.
• Strong software engineering and hands-on technical leadership experience.
• Proficiency in Python or TypeScript and cloud infrastructure work.

Responsibilities

• Build agent systems with Hermes Agent, OpenClaw, Letta, Agent Zero, OpenHands, or similar runtimes.
• Use frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, Vercel AI SDK, CrewAI, AutoGen, or Mastra.
• Develop reusable skills, tools, subagents, workflows, memory, and scheduling.

Skills

Python

TypeScript

AI agents

Cloud infrastructure

Agent orchestration

Tools

OpenAI Agents SDK

LangGraph

Vercel AI SDK

GitHub Copilot

Job description

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.

We’re looking for a hands-on Tech Lead to build production-grade AI agents and lead delivery from architecture to deployment. You’ll code, make technical decisions, and help the team ship reliable AI-powered products quickly.

Responsibilities:

• Build agent systems with Hermes Agent, OpenClaw, Letta, Agent Zero, OpenHands, or similar open-source runtimes.
• Use frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, Vercel AI SDK, CrewAI, AutoGen, or Mastra.
• Develop reusable skills, tools, subagents, workflows, persistent memory, scheduled tasks, and messaging integrations.
• Integrate OpenAI, Anthropic, Gemini, open-weight, and local models through tool calling, structured outputs, streaming, and model routing.
• Connect agents to systems using MCP, A2A, REST APIs, webhooks, browsers, terminals, and computer-use tools.
• Build RAG and context systems using pgvector, Pinecone, Weaviate, Elasticsearch, or equivalent technologies.
• Establish evaluations and observability with LangSmith, Braintrust, Phoenix, OpenTelemetry, or provider tracing.
• Secure autonomous agents using sandboxing, least-privilege access, approval gates, secrets management, audit trails, and prompt-injection defenses.
• Use Codex, Claude Code, Cursor, or GitHub Copilot to accelerate delivery.
• Own technical plans, production quality, latency, reliability, and model costs.

Requirements

• Strong software engineering and hands-on technical leadership experience.
• Experience shipping AI agents or LLM applications into production.
• Strong Python or TypeScript skills and cloud infrastructure experience.
• Practical knowledge of agent orchestration, memory, tool use, RAG, evaluations, and human-in-the-loop design.
• Familiarity with current trends such as self-improving agents, reusable agent skills, local-first and bring-your-own-model runtimes, multimodal and computer-use agents, MCP/A2A interoperability, durable execution, and eval-driven development.

Benefits

• Remote work (Vietnam-based)
• Full time: 8 hours per day, aligned with Portugal business hours (WET/WEST)
• Freelance / Service Agreement
• Hourly Rate: 20$-25$